Patch-Based Artifact Analysis in AI-Generated Images
Type: Graduation / Research Project
- Proposed a patch-based approach to analyze visual artifacts in AI-generated images using unsupervised deep clustering techniques.
- Designed comparative experiments to study recurring artifact patterns across GAN and diffusion models, with a focus on fine-grained analysis.
Tools: Python, TensorFlow/Keras, Deep Learning, Clustering
*Ongoing research project
Bloomind Garden (HCI Project – First Place)
Type: UI/UX & HCI
- Designed a user-centered mobile application that visualizes positive memories as a growing digital garden to promote reflection and emotional well-being.
- Developed and evaluated a high-fidelity interactive prototype following core HCI principles. The project won First Place at the CS Project Fair.
Tools: HCI principles, Prototyping, User Research, UI Design
*More details here
CUDA Bitonic Sort
Type: Systems & Parallel Programming
- Implemented Bitonic Sort in both C (CPU) and CUDA (GPU) to evaluate performance on large datasets.
- Designed experiments to measure speedup across different input sizes and analyzed when parallel execution outperforms sequential sorting.
Tools: C, CUDA, Performance Analysis
*More details here
RentHub: Peer-to-Peer Rental Platform
Type: System Design
- Designed a peer-to-peer rental platform that allows users to list, browse, and rent everyday items.
- Defined core system flows including authentication, search, booking, payments, and reviews, and documented system and testing plans.
Tools: System Design, UML, Documentation
